Results 131 to 140 of about 24,379 (232)

Risiken der Nichterkennung von Malware in komprimierter Form

, 2004
Maliziöse Software (Malware) gefährdet die Vertraulichkeit, Integrität und die Verfügbarkeit von Informatiksystemen auf verschiedene Art und Weise. In diesem Beitrag wird der Frage nachgegangen, inwiefern durch Malware in komprimierter Form Risiken ...
Fangmeier, Heiko, Messerschmidt, Michel, Seedorf, Jan, Müller, Fabian   +3 more
core  

A Study of Android Malware Detection Techniques in Virtual Environment

, 2016
With the rapid development of mobile environment, cyber-attacks have become more commonplace and more sophisticated. In smartphone operating system market, in particular, Android platform accounts for a large portion (65% or higher).At the same time ...
정현미, 조한진, 김기봉
core  

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]

PLoS One
Minh Manh V, Do Xuan C, Van NTK.
europepmc   +1 more source

RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source

Malware and Anti-Malware: A Comprehensive Review

With the explosive growth of digital connectivity and the professionalization of cybercrime, malware attacks have become one of the most persistent and sophisticated cybersecurity threats. This landscape now ranges from traditional viruses and worms to complex ransomware-as-a-service (RaaS) syndicates and advanced persistent threats (APTs).
openaire   +1 more source

AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]

J Anal Sci Technol
Radanliev P.
europepmc   +1 more source

A Study on Malware and Malware Detection Techniques [PDF]

International Journal of Education and Management Engineering, 2018
openaire   +1 more source

OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]

Sci Rep
Das K, Borah BB, Bhattacharyya DK, Kalita J.   +3 more
europepmc   +1 more source

Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection. [PDF]

Front Artif Intell
El-Hajj M, Zeineddine MAJ.
europepmc   +1 more source

Unveiling Linux Malware Behavior: The Importance of Execution Environments in Dynamic Analysis

openLa crescente diffusione dei dispositivi basati su Linux in server, infrastrutture cloud e dispositivi embedded ha reso questo sistema operativo un obiettivo sempre più comune per il malware. I malware moderni per Linux spesso eseguono controlli sull'
ROSA, NICOLÒ
core